Selected Education Proposals (2018)
Creation of a Molecular Microbiome Analysis Course
PI: Timothy Johnson
College of Agriculture, Animal Sciences
Team: Cindy Nakatsu (Agronomy), Steve Lindemann (Food Science), Laramy Enders (Entomology), Mohit Verma (ABE), Dianne Little (BMS), Yava Jones-Hall (Comp Pathology), Jennifer Kozioal (Vet Clin Serv), Matt Olson (Biology)
Foundations of the Data Mind: An Interlocking Modules Approach
PI: Milind Kulkarni
College of Engineering, Electrial and Computer Engineering
Team: Michael Fosmire (Lib), Dan Kelly (Phil), Wei Zakharov (Lib), Sarah Huber (Lib), Taylor Davis (Phil)
Development of a Model for Incorporation of Data Science Learning into a non-Majors course to Promote Data Science Ecosystem
PI: John Burgess
College of Health and Human Sciences, Nutrition Science
Team: Michele Forman (Nutrition Sciences), Ann Bessenbacher (Evaluation & Learning Research Center)
Building Data Literacy Skills across Purdue's Campus
PI: Jennifer Bay
College of Liberal Arts, English
Team: Samantha Blackmon (English), Michael Salvo (English), Patricia Sullivan (English)
Data Science Building Blocks: From Ethics to Exploration
PI: Rosalee Clawson
College of Liberal Arts, Political Science
Team: Paul Griffin (Regenstrief), Jianxi Su (Stat), Christopher Yeomans (Philosophy), Lingsong Zhang (Stat)
Engaging Data in the Humanities
PI: Matthew Hannah
Purdue Libraries
Team: Venetria Patton (Interdisciplinary Studies)
Analyzing Large Data Sets to Search for Rare Dark Matter Events
PI: Rafael Lang
College of Science, Physics and Astronomy
Autonomous Science Summer Short-Course
PI: Garth J. Simpson
College of Science, Chemistry
Team: Garth Simpson (Chemistry), Charlie Bouman (ECE/BME), Greg Buzzard (Math), Stanley Chan (ECE/Statistics)
Distinguishing good and bad science through data analysis: A Multidisciplinary Active Learning Course for Junior/Senior Undergraduates
PI: Alan M. Friedman
College of Science, Biological Sciences
Team: Andrew Hirsch (Physics), Bruce Craig (Statistics)